Forwarded from Machine Learning with Python
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important resource
https://www.linkedin.com/posts/hussein-sheikho-4a8187246_a-comprehensive-cheat-sheet-for-working-with-activity-7337103606531186688-Nn0q
https://www.linkedin.com/posts/hussein-sheikho-4a8187246_a-comprehensive-cheat-sheet-for-working-with-activity-7337103606531186688-Nn0q
Linkedin
Polars cheat sheet for data engineers and scientists | Hussein Sheikho posted on the topic | LinkedIn
📖 A comprehensive cheat sheet for working with Polars.
✏️ This cheat sheet explains everything about Polars in a concise and simple way. Not just theory! But also a bunch of real examples, practical experience, and projects that will really help you in the…
✏️ This cheat sheet explains everything about Polars in a concise and simple way. Not just theory! But also a bunch of real examples, practical experience, and projects that will really help you in the…
❤1
🤖🧠 PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing
🗓️ 09 Oct 2025
📚 AI News & Trends
If you’re a Python developer working with PDF documents whether it’s for text extraction, data analysis conversion or annotation then you’ve likely encountered the limitations of traditional tools. That’s where PyMuPDF also known as fitz, shines. It’s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ...
#PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance
🗓️ 09 Oct 2025
📚 AI News & Trends
If you’re a Python developer working with PDF documents whether it’s for text extraction, data analysis conversion or annotation then you’ve likely encountered the limitations of traditional tools. That’s where PyMuPDF also known as fitz, shines. It’s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ...
#PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance
🤖🧠 PandasAI: Transforming Data Analysis with Conversational Artificial Intelligence
🗓️ 28 Oct 2025
📚 AI News & Trends
In a world dominated by data, the ability to analyze and interpret information efficiently has become a core competitive advantage. From business intelligence dashboards to large-scale machine learning models, data-driven decision-making fuels innovation across industries. Yet, for most people, data analysis remains a technical challenge requiring coding expertise, statistical knowledge and familiarity with libraries like ...
#PandasAI #ConversationalAI #DataAnalysis #ArtificialIntelligence #DataScience #MachineLearning
🗓️ 28 Oct 2025
📚 AI News & Trends
In a world dominated by data, the ability to analyze and interpret information efficiently has become a core competitive advantage. From business intelligence dashboards to large-scale machine learning models, data-driven decision-making fuels innovation across industries. Yet, for most people, data analysis remains a technical challenge requiring coding expertise, statistical knowledge and familiarity with libraries like ...
#PandasAI #ConversationalAI #DataAnalysis #ArtificialIntelligence #DataScience #MachineLearning
Top 100 Data Analyst Interview Questions & Answers
#DataAnalysis #InterviewQuestions #SQL #Python #Statistics #CaseStudy #DataScience
Part 1: SQL Questions (Q1-30)
#1. What is the difference between
A:
•
•
•
#2. Select all unique departments from the
A: Use the
#3. Find the top 5 highest-paid employees.
A: Use
#4. What is the difference between
A:
•
•
#5. What are the different types of SQL joins?
A:
•
•
•
•
•
#6. Write a query to find the second-highest salary.
A: Use
#7. Find duplicate emails in a
A: Group by the email column and use
#8. What is a primary key vs. a foreign key?
A:
• A Primary Key is a constraint that uniquely identifies each record in a table. It must contain unique values and cannot contain NULL values.
• A Foreign Key is a key used to link two tables together. It is a field (or collection of fields) in one table that refers to the Primary Key in another table.
#9. Explain Window Functions. Give an example.
A: Window functions perform a calculation across a set of table rows that are somehow related to the current row. Unlike aggregate functions, they do not collapse rows.
#10. What is a CTE (Common Table Expression)?
A: A CTE is a temporary, named result set that you can reference within a
#DataAnalysis #InterviewQuestions #SQL #Python #Statistics #CaseStudy #DataScience
Part 1: SQL Questions (Q1-30)
#1. What is the difference between
DELETE, TRUNCATE, and DROP?A:
•
DELETE is a DML command that removes rows from a table based on a WHERE clause. It is slower as it logs each row deletion and can be rolled back.•
TRUNCATE is a DDL command that quickly removes all rows from a table. It is faster, cannot be rolled back, and resets table identity.•
DROP is a DDL command that removes the entire table, including its structure, data, and indexes.#2. Select all unique departments from the
employees table.A: Use the
DISTINCT keyword.SELECT DISTINCT department
FROM employees;
#3. Find the top 5 highest-paid employees.
A: Use
ORDER BY and LIMIT.SELECT name, salary
FROM employees
ORDER BY salary DESC
LIMIT 5;
#4. What is the difference between
WHERE and HAVING?A:
•
WHERE is used to filter records before any groupings are made (i.e., it operates on individual rows).•
HAVING is used to filter groups after aggregations (GROUP BY) have been performed.-- Find departments with more than 10 employees
SELECT department, COUNT(employee_id)
FROM employees
GROUP BY department
HAVING COUNT(employee_id) > 10;
#5. What are the different types of SQL joins?
A:
•
(INNER) JOIN: Returns records that have matching values in both tables.•
LEFT (OUTER) JOIN: Returns all records from the left table, and the matched records from the right table.•
RIGHT (OUTER) JOIN: Returns all records from the right table, and the matched records from the left table.•
FULL (OUTER) JOIN: Returns all records when there is a match in either the left or right table.•
SELF JOIN: A regular join, but the table is joined with itself.#6. Write a query to find the second-highest salary.
A: Use
OFFSET or a subquery.-- Method 1: Using OFFSET
SELECT salary
FROM employees
ORDER BY salary DESC
LIMIT 1 OFFSET 1;
-- Method 2: Using a Subquery
SELECT MAX(salary)
FROM employees
WHERE salary < (SELECT MAX(salary) FROM employees);
#7. Find duplicate emails in a
customers table.A: Group by the email column and use
HAVING to find groups with a count greater than 1.SELECT email, COUNT(email)
FROM customers
GROUP BY email
HAVING COUNT(email) > 1;
#8. What is a primary key vs. a foreign key?
A:
• A Primary Key is a constraint that uniquely identifies each record in a table. It must contain unique values and cannot contain NULL values.
• A Foreign Key is a key used to link two tables together. It is a field (or collection of fields) in one table that refers to the Primary Key in another table.
#9. Explain Window Functions. Give an example.
A: Window functions perform a calculation across a set of table rows that are somehow related to the current row. Unlike aggregate functions, they do not collapse rows.
-- Rank employees by salary within each department
SELECT
name,
department,
salary,
RANK() OVER (PARTITION BY department ORDER BY salary DESC) as dept_rank
FROM employees;
#10. What is a CTE (Common Table Expression)?
A: A CTE is a temporary, named result set that you can reference within a
SELECT, INSERT, UPDATE, or DELETE statement. It helps improve readability and break down complex queries.❤2
🤖🧠 PokeeResearch: Advancing Deep Research with AI and Web-Integrated Intelligence
🗓️ 09 Nov 2025
📚 AI News & Trends
In the modern information era, the ability to research fast, accurately and at scale has become a competitive advantage for businesses, researchers, analysts and developers. As online data expands exponentially, traditional search engines and manual research workflows are no longer sufficient to gather reliable insights efficiently. This need has fueled the rise of AI research ...
#AIResearch #DeepResearch #WebIntelligence #ArtificialIntelligence #ResearchAutomation #DataAnalysis
🗓️ 09 Nov 2025
📚 AI News & Trends
In the modern information era, the ability to research fast, accurately and at scale has become a competitive advantage for businesses, researchers, analysts and developers. As online data expands exponentially, traditional search engines and manual research workflows are no longer sufficient to gather reliable insights efficiently. This need has fueled the rise of AI research ...
#AIResearch #DeepResearch #WebIntelligence #ArtificialIntelligence #ResearchAutomation #DataAnalysis
✨DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
📝 Summary:
DAComp is a benchmark with 210 tasks for data engineering and analysis workflows. It reveals significant deficiencies in state-of-the-art agents, with success rates under 20% for engineering and below 40% for analysis, highlighting critical gaps.
🔹 Publication Date: Published on Dec 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04324
• PDF: https://arxiv.org/pdf/2512.04324
• Project Page: https://da-comp.github.io/
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#DataAgents #Benchmarking #DataEngineering #DataAnalysis #AIResearch
📝 Summary:
DAComp is a benchmark with 210 tasks for data engineering and analysis workflows. It reveals significant deficiencies in state-of-the-art agents, with success rates under 20% for engineering and below 40% for analysis, highlighting critical gaps.
🔹 Publication Date: Published on Dec 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04324
• PDF: https://arxiv.org/pdf/2512.04324
• Project Page: https://da-comp.github.io/
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#DataAgents #Benchmarking #DataEngineering #DataAnalysis #AIResearch